The course syllabus can be found here.
Every weekly session has three sections.
- Read: This page contains the slides for the week.
- HW: This page contains any homework problem sets for the week.
- Code: This page contains lab code from each week.
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Topics |
| 8/19 |
Week 1: Introduction & Logistics |
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Model-based inference (MLE) |
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| 8/26 |
Week 2: Logit + Rare event logit |
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| 9/2 |
Week 3: Ordered logit + Multinomial logit |
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| 9/9 |
Week 4: Count Data models |
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| 9/16 |
Week 5: Duration Models and Binary TSCS models
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| 9/23 |
Week 6: Panel Data (FE and RE) |
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Design-based inference with observational data |
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| 9/30 |
Week 7: Injury (no class)
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| 10/7 |
Week 8: Potential outcome framework and DAGs
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| 10/14 |
Week 9: Matching design
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| 10/21 |
Week 10: Regression discontinuity design
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| 10/28 |
Week 11: Instrumental variable design
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| 11/4 |
Week 12: Difference-in-Differences design
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| 11/11 |
Week 13: (no class)
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Basic network analysis and inference |
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| 11/18 |
Week 14: Social network analysis (SNA) - introduction
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| 11/25 |
Week 15: Thanksgiving (no class)
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| 12/2 |
Week 16: Measures of network structure and data collection
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| 12/5, 11:59PM |
Final Project Due |
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